Abstract
The main objective of this research is to present the tuning of the fractional order PID controller for the forced air heating system using the particle swarm optimization algorithm (PSO), cockroach swarm optimization algorithm (CSO), grey wolf optimizer algorithm (GWO). In preliminaries, fractional calculus is discussed. Then, all three biological algorithms are briefly presented. Obtained simulation results allow comparison of individual algorithms in terms of overshoot, settling time and performance criteria (IAE, ITAE).
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Dziedzic, K. (2020). Tuning the Fractional Order PID Controller in the Forced Air Heating System Using Biologically Inspired algorithms. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2020: Towards Industry of the Future. AUTOMATION 2020. Advances in Intelligent Systems and Computing, vol 1140. Springer, Cham. https://doi.org/10.1007/978-3-030-40971-5_13
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DOI: https://doi.org/10.1007/978-3-030-40971-5_13
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